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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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simulation programs, big data analyses, or qualitative analyses. N.B. it is not expected/desired that you have experience with all of these methods/programs, but familiarity with some are desired. Good
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80%-100%, Zurich, fixed-term To support teaching, research and knowledge transfer, the IT Services (ITS) of ETH Zurich are working as a service organization in a large and complex IT environment
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-transportation system, we are looking for a: PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%) Project background Our energy and transportation systems are rapidly transforming in
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primary focus for this group would be computational morphometry of human model systems. Applications for other areas of computational biology, such as integration of multi-modal, large-scale data sets and
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high-pressure and high temperature experimental (laser-heated and externally-heated diamond anvil cell, large volume press, and piston-cylinder apparatus) methods, eager to contribute to cutting-edge
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the state-of-the-art of model-based planning support for transport and urban systems under uncertainty. The doctorate will develop new tools and methods that integrate large-scale agent-based modelling
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and interpretation of large-scale datasets, in particular next generation sequencing (NGS) data. The team covers raw data processing, high-performance computing, statistical evaluation, interpretation
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. 2017. Where does the money go? Economic flow analysis of construction projects. Building Research and Information. DOI: 10.1080/09613218.2017.1294419 Meglin R., Habert G., Kytzia S. 2021. Regional
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codebase used for training large generative neural network models. This role requires a strong background in machine learning, software development, and the ability to work collaboratively in a research